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- W4384694297 abstract "To support in-line quality control of raw milk, we propose a fiber-optic spatially-resolved spectroscopy (SRS) setup. This setup allows to vary the interaction of long-wave near-infrared (LW-NIR) light with the milk by submerging a separate optical illumination and detection fiber into the sample and altering their relative distance to optimize measurements for specific milk component(s). We evaluated this approach for predicting milk fat, protein, and lactose content and determined the optimal illumination-to-detection distances for each milk component. The region between 1.1 to 1.8 mm was optimal for lactose, and between 2.2 and 3.8 mm for fat and protein. These distance ranges resulted in a root-mean-square error of prediction (RMSEP) of less than 0.10% weight/weight (wt/wt) for milk fat, and lower than 0.13% (wt/wt) for protein and lactose. Integration of these distances into a fiber-optic SRS reflectance probe would allow to simultaneously determine the fat, protein, and lactose content of raw milk in-line with high accuracy." @default.
- W4384694297 created "2023-07-20" @default.
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- W4384694297 date "2023-07-18" @default.
- W4384694297 modified "2023-09-25" @default.
- W4384694297 title "Near-infrared spatially-resolved spectroscopy for milk quality analysis" @default.
- W4384694297 doi "https://doi.org/10.26434/chemrxiv-2023-kswct" @default.
- W4384694297 hasPublicationYear "2023" @default.
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